Heuristic-based Approach for Constructing Hierarchical Knowledge Structure

• Main Authors: Chien-Yuan Chen, 陳乾元
• Other Authors: Sheng-Tun Li
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/65815205878904421250

碩士 === 國立成功大學 === 資訊管理研究所 === 96 === Being in the times of knowledge economy, knowledge is the core of competence of every enterprise. Knowledge can be regarded as a set of mutual associated concepts which generally exists in corpora or experts’ cognitions. Knowledge socialization is the first step of Knowledge Management (KM) and the most laborious of it is to appropriately express the socialized knowledge. Lots of formats can be used to express knowledge, the most common being the tree-based hierarchical knowledge structure. It can express the knowledge holistically and render explicit hierarchy sense. Many researches propose (semi-)automatic hierarchical knowledge structure constructing approaches. We present a novel methodology to construct tree-hierarchy (semi-)automatically based on similarities between concepts. Further, several characters of the root are discussed for root recommendation. The resulting structure can be the initial step of building ontology.